2026-08-27

Internal Generation Record

Internal generation metadata: 385 candidate papers.

Published 2026-08-27 Target source 2026-08-25 Actual source 2026-08-25 Candidates 385 Featured 6 Tracked 20

Generation Record

This page preserves selected papers, candidate scale, and source-date metadata for traceability. The page only changes presentation, not selected papers, ordering, or counts.

Internal generation record. Fetched at 2026-08-27T00:44:44.160384+00:00. Generated at 2026-08-27T00:46:03.356263+00:00. Machine-readable details stay under data/processed and data/reports.

Selected papers

RankTakeawayTopicarXiv
1improve model reasoning, planning, and verificationMultimodal Models2608.24574
2improve model reasoning, planning, and verificationMultimodal Models2608.24372
3make agents use tools and reusable skills more reliablyAgents and Tool Use2608.24876
4make agents use tools and reusable skills more reliablySystems and Deployment2608.24674
5make RAG retrieval and knowledge-base QA more reliableCode Intelligence2608.24561
6make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.24252
7improve model reasoning, planning, and verificationTraining and Post-training2608.24231
8make agents use tools and reusable skills more reliablyAgents and Tool Use2608.24037
9improve code generation, execution feedback, and automated repairTraining and Post-training2608.23927
10make agents use tools and reusable skills more reliablyAgents and Tool Use2608.24735
11improve code generation, execution feedback, and automated repairTraining and Post-training2608.24727
12improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.24191
13improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.24154
14make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.24053
15make agents use tools and reusable skills more reliablyAgents and Tool Use2608.23979
16use benchmarks and evaluations to expose model weaknessesBenchmarks and Evaluation2608.24858
17improve image generation, visual understanding, and controllable renderingBenchmarks and Evaluation2608.24810
18make RAG retrieval and knowledge-base QA more reliableVideo Generation2608.24680
19improve code generation, execution feedback, and automated repairCode Intelligence2608.24654
20make RAG retrieval and knowledge-base QA more reliableVision and Image Generation2608.24541
21test temporal consistency and motion realism in video generationBenchmarks and Evaluation2608.24477
22make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.24138
23make agents use tools and reusable skills more reliablyRetrieval and RAG2608.24060
24improve model reasoning, planning, and verificationVideo Generation2608.23972
25improve code generation, execution feedback, and automated repairBenchmarks and Evaluation2608.23928
26make agents use tools and reusable skills more reliablyBenchmarks and Evaluation2608.24885